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14043

An Intelligent Spelling Framework Based on Brain-Computer Interface

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Last updated: 03 Jan 2025

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Abstract

Brain-computer Interface (BCI) aims to enhance the quality of life for all humans. Spelling is one of BCI applications that is used to type numbers, characters, words, or sentences by recording the user's brain activity. In this paper, A BCI speller framework based on converting mental activity is presented. Such framework uses Independent Component Analysis (ICA) and Auto Regressive (AR) for preprocessing and feature extraction respectively. Both of Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) are utilized at the classification phase. Several experiments have been conducted by four subjects using the pre-described framework achieved high average accuracy of 94.38% for KNN with value of K=9. The performance results have shown that converting mental activity can be used as a mean for spelling applications.  

DOI

10.21608/jsrs.2018.14043

Keywords

Brain-Computer Interface, Event Related Potentials (ERP), Steady State Evoked Potential (SSEP), and Motor Imagery (MI), mental speller

Authors

First Name

Yosra

Last Name

Abdula

MiddleName

N

Affiliation

Physics Department, Faculty of Women for Arets, Science, and Education. Ain Shams University. Cairo. Egypt.

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First Name

S

Last Name

Abdel-Mageid

MiddleName

-

Affiliation

System Engineering and Computer Department, Faculty of Engineering. Al-azhar University. Cairo. Egypt.

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-

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-

Orcid

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First Name

R.

Last Name

Ramadan

MiddleName

A.

Affiliation

Computer Engineering Department, Faculty of Engineering. Cairo University. Giza. Egypt.

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-

Orcid

-

First Name

Afaf

Last Name

Nada

MiddleName

A

Affiliation

Physics Department, Faculty of Women for Arets, Science, and Education. Ain Shams University. Cairo. Egypt.

Email

afafhero_nada@yahoo.com

City

-

Orcid

-

First Name

Marwa

Last Name

Elshahed

MiddleName

A.

Affiliation

Physics Department, Faculty of Women for Arets, Science, and Education. Ain Shams University. Cairo. Egypt.

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-

City

-

Orcid

-

First Name

Sarah

Last Name

Abdulkader

MiddleName

N

Affiliation

Computer Science Department, Faculty of Computer and Information System. Helwan University. Cairo. Egypt.

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-

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-

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Volume

34

Article Issue

part1

Related Issue

2422

Issue Date

2017-09-01

Receive Date

2018-09-18

Publish Date

2017-09-01

Page Start

194

Page End

215

Print ISSN

2356-8364

Online ISSN

2356-8372

Article File

JSRS_Volume 34_Issue part1_Pages 194-215.pdf

PDF . 1.2MB

Link

https://jsrs.journals.ekb.eg/article_14043.html

Detail API

https://jsrs.journals.ekb.eg/service?article_code=14043

Order

14

Type

Original Article

Type Code

656

Publication Type

Journal

Publication Title

Journal of Scientific Research in Science

Publication Link

https://jsrs.journals.ekb.eg/

MainTitle

An Intelligent Spelling Framework Based on Brain-Computer Interface

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Type

Article

Created At

22 Jan 2023